| 利用DS-InSAR技术监测黄河三角洲地表形变 |
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| 引用本文： | 曹建涛,郑翔元,范洪冬,李国华,黄 晨.利用DS-InSAR技术监测黄河三角洲地表形变[J].大地测量与地球动力学,2022,42(11):1177-1183. |
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| 作者姓名： | 曹建涛 郑翔元 范洪冬 李国华 黄 晨 |
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| 摘 要： | 针对黄河三角洲地区湿地及农田多、范围大，导致PS-InSAR技术难以获取高密度地表形变信息的问题，提出一种基于分布式目标InSAR（DS-InSAR）的黄河三角洲地表形变监测方法。该方法通过置信区间估计选取同质像元点，利用特征值分解方法计算主散射体对应相位值以达到相位优化的目的，再根据时空相干性确定分布式目标，最后建模解算时序地表形变信息。以26景Sentinel-1A影像为数据源，提取2019-12～2020-12期间黄河三角洲地区的地表沉降信息，与PS-InSAR方法结果相比，点位密度提高5.56倍；两种方法获取的同名点对形变速率的相关系数为0.727，说明两者具有很好的一致性。实验结果表明，研究区内存在4处明显沉降区域，最大沉降速率达-238 mm/a，经分析及实地调查验证，其主要影响因素为地下卤水及油气开采。
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| 关 键 词： | 黄河三角洲 InSAR 分布式目标 形变监测 卤水开采 |
Surface Deformation Monitoring in the Yellow River Delta by Using DS-InSAR Technique |
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| CAO Jiantao,ZHENG Xiangyuan,FAN Hongdong,LI Guohua,HUANG Chen.Surface Deformation Monitoring in the Yellow River Delta by Using DS-InSAR Technique[J].Journal of Geodesy and Geodynamics,2022,42(11):1177-1183. |
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| Authors: | CAO Jiantao ZHENG Xiangyuan FAN Hongdong LI Guohua HUANG Chen |
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| Abstract: | The Yellow river delta region has many wetlands, farmlands and large areas, making it difficult for PS-InSAR technology to obtain high-density surface deformation information. In this paper, we study a surface deformation monitoring method of Yellow river delta based on distributed scatterers InSAR(DS-InSAR). In this method, we select homogeneous pixel points through confidence interval estimation, then we extract the corresponding phase value of dominant scatterers by eigenvalue decomposition method to achieve phase optimization. We determine distributed scatterers according to spatio-temporal coherence, and finally solve time-series surface deformation information. Using 26 Sentinel-1A images as data sources, we extract the surface subsidence information of the Yellow river delta from December 2019 to December 2020. Compared with the results of the PS-InSAR method, the point density increases by 5.56 times. The correlation coefficient between the points with the same name and the deformation rate obtained by this method is 0.727, indicating that the two methods are in good agreement. The experimental results showed that there are four obvious subsidence areas in the studied area, and the maximum subsidence rate was -238 mm/a. Analysis and field investigation show that the main influencing factors are underground brine and oil and gas exploitation. |
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| Keywords: | Yellow river delta InSAR distributed scatterers deformation monitoring brine mining |
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